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Anurag Sharma's Projects

amazon-sagemaker-examples icon amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

covid-19-worldwide-evolution icon covid-19-worldwide-evolution

Dash šŸš€ with animated scatter map on mapbox/plotly (COVID data) for tracking day to day evolution of COVID-19 through the world.

email_reply_prediciton icon email_reply_prediciton

Problem Statement: To predict whether a given mail will get a reply or not. Given Dataset: A text file with emails and their metadata in hierarchy To predict: Reply/ No reply Our Approach: Load Data Extracting Data: Extracting text email subject and body data from the text file Text Data Cleaning and Preprocessing Feature engineering : extracting additional features from emails (such as header subject length, email body lengths, recepient count, attachment count) Modelling: 5.1 BERT Embeddings from the text data 5.2 combine with other features 5.3 train test split 5.4 predict using MLP classifier 5.5 check F-1 score and plot ROC

randomwalks icon randomwalks

Includes code of PageRank algorithm and Modified Version of PageRank Algorithm

regression icon regression

Regression Techniques like Linear Regression, Logistic Regression, Lasso , Ridge implemented from scratch

web_scraping icon web_scraping

Scraping google ads which appear on google search using selenium.

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